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Neuro-swarm intelligent computing to solve the second-order singular functional differential model
The aim of the present study is to solve the singular second-order functional differential
model with the development of neuro-swarm intelligent computing solver ANN–PSO–SQP …
model with the development of neuro-swarm intelligent computing solver ANN–PSO–SQP …
Fuzzy-second order sliding mode control optimized by genetic algorithm applied in direct torque control of dual star induction motor
The direct torque control of the dual star induction motor (DTC-DSIM) using conventional PI
controllers is characterized by unsatisfactory performance, such as high ripples of torque …
controllers is characterized by unsatisfactory performance, such as high ripples of torque …
[HTML][HTML] A grid forming control for wind energy conversion systems
This paper presents an effective and practical structure to improve voltage and frequency
regulation in grid-forming control of self-excited induction generator-based wind energy …
regulation in grid-forming control of self-excited induction generator-based wind energy …
Design of Gudermannian Neuroswarming to solve the singular Emden–Fowler nonlinear model numerically
The current investigation is related to the design of novel integrated neuroswarming
heuristic paradigm using Gudermannian artificial neural networks (GANNs) optimized with …
heuristic paradigm using Gudermannian artificial neural networks (GANNs) optimized with …
A grid forming control strategy for STATCOM-assisted isolated SCIG-based wind energy conversion systems
Despite the many benefits, the remote wind energy conversion systems (WECSs) that
operate using self-excited squirrel cage induction generators (SCIGs) suffer from poor …
operate using self-excited squirrel cage induction generators (SCIGs) suffer from poor …
[PDF][PDF] Neuro-Swarm heuristic using interior-point algorithm to solve a third kind of multi-singular nonlinear system
The purpose of the present work is to solve a third kind of multi-singular nonlinear system
using the neuro-swarm computing solver based on the artificial neural networks (ANNs) …
using the neuro-swarm computing solver based on the artificial neural networks (ANNs) …
[HTML][HTML] Multi-port network based modeling and selection of capacitor for desired voltage regulation of a standalone six-phase short-shunt induction generator for …
This paper gives a straightforward method to determine the values of excitation capacitors of
a standalone short-shunt six-phase induction generator (SPIG) to maintain the voltage …
a standalone short-shunt six-phase induction generator (SPIG) to maintain the voltage …
A new simplified approach for the steady state analysis of self-excited induction generators employing the concepts of co-ordinate geometry
A methodology for the steady state analysis of self-excited induction generators (SEIGs) is
proposed employing an approach using simple co-ordinate geometry. The equivalent circuit …
proposed employing an approach using simple co-ordinate geometry. The equivalent circuit …
PID controller using new GWO strategy to drive dual star induction motor
This work deals with optimizing the parameters of the proportional-integral-derivative (PID)
controller to improve the speed control performance of (DSIM) driven by field-oriented …
controller to improve the speed control performance of (DSIM) driven by field-oriented …
[PDF][PDF] A New and Simple Mathematical Technique to Study the Steady-state Performance of Isolated Asynchronous Generator
Abstract Isolated Asynchronous Generator (IAG) is nowadays widely used for renewable
power generation from the sources like wind and small hydro. Traditionally, the steady-state …
power generation from the sources like wind and small hydro. Traditionally, the steady-state …